Retrospective correction of MR intensity inhomogeneity by information minimization.

Retrospective correction of MR intensity inhomogeneity by information minimization.

In this paper, the problem of retrospective correction of intensity inhomogeneity in magnetic resonance (MR) images is addressed. A novel model-based correction method is proposed, based on the assumption that an image corrupted by intensity inhomogeneity contains more information than the correspon...

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書目詳細資料
發表在:IEEE Transactions on medical imaging 20, 12 (2001).
主要作者: Likar, B.
格式: Article
語言:English
主題:
MR image analysis.
Corrupted image.
Global intensity statistic preservation.
Image degradation model.
Information minimization.
Magnetic resonance imaging.
Medical diagnostic imaging.
Model parameters.
Model-based correction method.
Nonuniformity correction.
Parameter setting.
Retrospective MR intensity inhomogeneity correction.
Smoothly varying basis functions.
User interaction.